Instagram Stories User Behavior Analysis with Python | Meta Product Analytics (Day 9)
Welcome to Day 9 of the Python Summer Party Challenge 🎉
In this episode, I take on the role of a Product Analyst on the Instagram Stories team at Meta, analyzing daily story creation patterns to understand how users engage with the Stories feature 📱📊
Using Python, I explore:
The distribution of stories created per user per day
Differences between light and heavy story creators
Behavioral patterns that drive higher engagement
How data informs product and engagement strategies
🔍 What you’ll learn in this video:
User behavior analysis with Python
Distribution analysis and storytelling metrics
Identifying engagement-driving user segments
How product analysts use behavioral data at scale
Real-world analytics used by social media platforms
🎯 Who this is for:
Product Analysts, Data Analysts, Growth Analysts, Python learners, and anyone curious about how Instagram optimizes engagement.
This video is part of a 15-Day Real-World Python Analytics Challenge featuring top companies like Meta, Google, Amazon, Disney & more.
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